Overview

Dataset statistics

Number of variables63
Number of observations34
Missing cells724
Missing cells (%)33.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.3 KiB
Average record size in memory549.9 B

Variable types

Numeric14
Categorical22
Text7
Unsupported15
DateTime1
Boolean4

Dataset

Description22년09월_6270000_대구광역시_03_07_09_P_일반유원시설업
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=DMI_0000096572&dataSetDetailId=DDI_0000096589&provdMethod=FILE

Alerts

개방서비스명 has constant value ""Constant
개방서비스아이디 has constant value ""Constant
문화체육업종명 has constant value ""Constant
휴업시작일자 is highly imbalanced (71.5%)Imbalance
휴업종료일자 is highly imbalanced (67.7%)Imbalance
주변환경명 is highly imbalanced (50.3%)Imbalance
방송시설유무 is highly imbalanced (50.9%)Imbalance
인허가취소일자 has 34 (100.0%) missing valuesMissing
폐업일자 has 16 (47.1%) missing valuesMissing
재개업일자 has 34 (100.0%) missing valuesMissing
소재지전화 has 20 (58.8%) missing valuesMissing
소재지면적 has 34 (100.0%) missing valuesMissing
소재지우편번호 has 17 (50.0%) missing valuesMissing
도로명전체주소 has 4 (11.8%) missing valuesMissing
도로명우편번호 has 6 (17.6%) missing valuesMissing
업태구분명 has 34 (100.0%) missing valuesMissing
총층수 has 17 (50.0%) missing valuesMissing
제작취급품목내용 has 34 (100.0%) missing valuesMissing
보험기관명 has 34 (100.0%) missing valuesMissing
건물용도명 has 29 (85.3%) missing valuesMissing
지상층수 has 14 (41.2%) missing valuesMissing
지하층수 has 16 (47.1%) missing valuesMissing
영문상호명 has 34 (100.0%) missing valuesMissing
영문상호주소 has 34 (100.0%) missing valuesMissing
선박제원 has 34 (100.0%) missing valuesMissing
기념품종류 has 34 (100.0%) missing valuesMissing
시설면적 has 13 (38.2%) missing valuesMissing
놀이기구수내역 has 9 (26.5%) missing valuesMissing
방송시설유무 has 6 (17.6%) missing valuesMissing
발전시설유무 has 16 (47.1%) missing valuesMissing
의무실유무 has 13 (38.2%) missing valuesMissing
안내소유무 has 5 (14.7%) missing valuesMissing
기획여행보험시작일자 has 34 (100.0%) missing valuesMissing
기획여행보험종료일자 has 34 (100.0%) missing valuesMissing
보험시작일자 has 34 (100.0%) missing valuesMissing
보험종료일자 has 34 (100.0%) missing valuesMissing
부대시설내역 has 34 (100.0%) missing valuesMissing
시설규모 has 13 (38.2%) missing valuesMissing
번호 has unique valuesUnique
최종수정시점 has unique valuesUnique
인허가취소일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지면적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업태구분명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제작취급품목내용 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험기관명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
영문상호주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
선박제원 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기념품종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
기획여행보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보험종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부대시설내역 is an unsupported type, check if it needs cleaning or further analysisUnsupported
총층수 has 8 (23.5%) zerosZeros
지상층수 has 10 (29.4%) zerosZeros
지하층수 has 11 (32.4%) zerosZeros
시설면적 has 10 (29.4%) zerosZeros
시설규모 has 10 (29.4%) zerosZeros

Reproduction

Analysis started2023-12-10 17:59:55.511963
Analysis finished2023-12-10 17:59:56.624364
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:59:57.085557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile32.35
Maximum34
Range33
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.9582462
Coefficient of variation (CV)0.56904264
Kurtosis-1.2
Mean17.5
Median Absolute Deviation (MAD)8.5
Skewness0
Sum595
Variance99.166667
MonotonicityStrictly increasing
2023-12-11T02:59:57.321191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

개방서비스명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
일반유원시설업
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반유원시설업
2nd row일반유원시설업
3rd row일반유원시설업
4th row일반유원시설업
5th row일반유원시설업

Common Values

ValueCountFrequency (%)
일반유원시설업 34
100.0%

Length

2023-12-11T02:59:57.555531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:59:57.692465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반유원시설업 34
100.0%

개방서비스아이디
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
03_07_09_P
34 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03_07_09_P
2nd row03_07_09_P
3rd row03_07_09_P
4th row03_07_09_P
5th row03_07_09_P

Common Values

ValueCountFrequency (%)
03_07_09_P 34
100.0%

Length

2023-12-11T02:59:57.870688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:59:58.016457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
03_07_09_p 34
100.0%

개방자치단체코드
Real number (ℝ)

Distinct7
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3435588.2
Minimum3410000
Maximum3480000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:59:58.160750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3410000
5-th percentile3410000
Q13410000
median3430000
Q33450000
95-th percentile3473500
Maximum3480000
Range70000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation24019.08
Coefficient of variation (CV)0.006991257
Kurtosis-1.3906118
Mean3435588.2
Median Absolute Deviation (MAD)20000
Skewness0.30646306
Sum1.1681 × 108
Variance5.7691622 × 108
MonotonicityIncreasing
2023-12-11T02:59:58.339494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
3410000 11
32.4%
3450000 8
23.5%
3420000 6
17.6%
3460000 4
 
11.8%
3470000 2
 
5.9%
3480000 2
 
5.9%
3440000 1
 
2.9%
ValueCountFrequency (%)
3410000 11
32.4%
3420000 6
17.6%
3440000 1
 
2.9%
3450000 8
23.5%
3460000 4
 
11.8%
3470000 2
 
5.9%
3480000 2
 
5.9%
ValueCountFrequency (%)
3480000 2
 
5.9%
3470000 2
 
5.9%
3460000 4
 
11.8%
3450000 8
23.5%
3440000 1
 
2.9%
3420000 6
17.6%
3410000 11
32.4%

관리번호
Text

Distinct24
Distinct (%)70.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T02:59:58.637967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters680
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)47.1%

Sample

1st rowCDFI5271002011000001
2nd rowCDFI5271002011000002
3rd rowCDFI5271002011000003
4th rowCDFI5271002012000001
5th rowCDFI5271002013000001
ValueCountFrequency (%)
cdfi5271002019000001 3
 
8.8%
cdfi5271002021000001 3
 
8.8%
cdfi5271002015000001 2
 
5.9%
cdfi5271002012000001 2
 
5.9%
cdfi5271002014000001 2
 
5.9%
cdfi5271002019000002 2
 
5.9%
cdfi5271002021000002 2
 
5.9%
cdfi5271002016000001 2
 
5.9%
cdfi5271001987000002 1
 
2.9%
cdfi5271002011000001 1
 
2.9%
Other values (14) 14
41.2%
2023-12-11T02:59:59.131342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 268
39.4%
1 94
 
13.8%
2 77
 
11.3%
7 39
 
5.7%
5 36
 
5.3%
C 34
 
5.0%
D 34
 
5.0%
F 34
 
5.0%
I 34
 
5.0%
9 15
 
2.2%
Other values (4) 15
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 544
80.0%
Uppercase Letter 136
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 268
49.3%
1 94
 
17.3%
2 77
 
14.2%
7 39
 
7.2%
5 36
 
6.6%
9 15
 
2.8%
8 5
 
0.9%
4 4
 
0.7%
3 4
 
0.7%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 34
25.0%
D 34
25.0%
F 34
25.0%
I 34
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 544
80.0%
Latin 136
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 268
49.3%
1 94
 
17.3%
2 77
 
14.2%
7 39
 
7.2%
5 36
 
6.6%
9 15
 
2.8%
8 5
 
0.9%
4 4
 
0.7%
3 4
 
0.7%
6 2
 
0.4%
Latin
ValueCountFrequency (%)
C 34
25.0%
D 34
25.0%
F 34
25.0%
I 34
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 680
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 268
39.4%
1 94
 
13.8%
2 77
 
11.3%
7 39
 
5.7%
5 36
 
5.3%
C 34
 
5.0%
D 34
 
5.0%
F 34
 
5.0%
I 34
 
5.0%
9 15
 
2.2%
Other values (4) 15
 
2.2%

인허가일자
Real number (ℝ)

Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20116384
Minimum19871230
Maximum20220617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T02:59:59.372459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19871230
5-th percentile19877330
Q120110544
median20150876
Q320190820
95-th percentile20211219
Maximum20220617
Range349387
Interquartile range (IQR)80275.25

Descriptive statistics

Standard deviation106493.53
Coefficient of variation (CV)0.0052938705
Kurtosis0.57573812
Mean20116384
Median Absolute Deviation (MAD)40308.5
Skewness-1.3197168
Sum6.8395704 × 108
Variance1.1340872 × 1010
MonotonicityNot monotonic
2023-12-11T02:59:59.611591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
20191220 2
 
5.9%
19871230 2
 
5.9%
20190822 1
 
2.9%
20211224 1
 
2.9%
20180803 1
 
2.9%
20210716 1
 
2.9%
20220617 1
 
2.9%
20070307 1
 
2.9%
20110525 1
 
2.9%
20190711 1
 
2.9%
Other values (22) 22
64.7%
ValueCountFrequency (%)
19871230 2
5.9%
19880615 1
2.9%
19930709 1
2.9%
19940730 1
2.9%
19970110 1
2.9%
20040504 1
2.9%
20070307 1
2.9%
20110525 1
2.9%
20110603 1
2.9%
20110718 1
2.9%
ValueCountFrequency (%)
20220617 1
2.9%
20211224 1
2.9%
20211217 1
2.9%
20211210 1
2.9%
20210716 1
2.9%
20210122 1
2.9%
20191220 2
5.9%
20190822 1
2.9%
20190813 1
2.9%
20190711 1
2.9%

인허가취소일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

영업상태구분코드
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
3
20 
1
11 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 20
58.8%
1 11
32.4%
2 3
 
8.8%

Length

2023-12-11T02:59:59.831661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:00.009051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
58.8%
1 11
32.4%
2 3
 
8.8%

영업상태명
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
20 
영업/정상
11 
휴업
3 

Length

Max length5
Median length2
Mean length2.9705882
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 20
58.8%
영업/정상 11
32.4%
휴업 3
 
8.8%

Length

2023-12-11T03:00:00.201961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:00.373418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
58.8%
영업/정상 11
32.4%
휴업 3
 
8.8%

상세영업상태코드
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
3
20 
13
11 
2
3 

Length

Max length2
Median length1
Mean length1.3235294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 20
58.8%
13 11
32.4%
2 3
 
8.8%

Length

2023-12-11T03:00:00.595027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:00.749840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 20
58.8%
13 11
32.4%
2 3
 
8.8%

상세영업상태명
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
폐업
20 
영업중
11 
휴업
3 

Length

Max length3
Median length2
Mean length2.3235294
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row폐업
2nd row폐업
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
폐업 20
58.8%
영업중 11
32.4%
휴업 3
 
8.8%

Length

2023-12-11T03:00:00.908241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:01.084908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업 20
58.8%
영업중 11
32.4%
휴업 3
 
8.8%

폐업일자
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)100.0%
Missing16
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean20171816
Minimum20041112
Maximum20220506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:01.247810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20041112
5-th percentile20108527
Q120148457
median20185772
Q320197951
95-th percentile20212427
Maximum20220506
Range179394
Interquartile range (IQR)49494.5

Descriptive statistics

Standard deviation44493.455
Coefficient of variation (CV)0.0022057238
Kurtosis3.2570715
Mean20171816
Median Absolute Deviation (MAD)19640
Skewness-1.6669025
Sum3.6309269 × 108
Variance1.9796676 × 109
MonotonicityNot monotonic
2023-12-11T03:00:01.425160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20190825 1
 
2.9%
20180524 1
 
2.9%
20211001 1
 
2.9%
20190826 1
 
2.9%
20210101 1
 
2.9%
20210822 1
 
2.9%
20180826 1
 
2.9%
20220506 1
 
2.9%
20120424 1
 
2.9%
20141002 1
 
2.9%
Other values (8) 8
23.5%
(Missing) 16
47.1%
ValueCountFrequency (%)
20041112 1
2.9%
20120424 1
2.9%
20120619 1
2.9%
20140630 1
2.9%
20141002 1
2.9%
20170821 1
2.9%
20180524 1
2.9%
20180727 1
2.9%
20180826 1
2.9%
20190718 1
2.9%
ValueCountFrequency (%)
20220506 1
2.9%
20211001 1
2.9%
20210822 1
2.9%
20210101 1
2.9%
20200301 1
2.9%
20190902 1
2.9%
20190826 1
2.9%
20190825 1
2.9%
20190718 1
2.9%
20180826 1
2.9%

휴업시작일자
Categorical

IMBALANCE 

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
31 
20210531
 
1
20220816
 
1
20220101
 
1

Length

Max length8
Median length4
Mean length4.3529412
Min length4

Unique

Unique3 ?
Unique (%)8.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
91.2%
20210531 1
 
2.9%
20220816 1
 
2.9%
20220101 1
 
2.9%

Length

2023-12-11T03:00:01.653480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:01.838291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
91.2%
20210531 1
 
2.9%
20220816 1
 
2.9%
20220101 1
 
2.9%

휴업종료일자
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
31 
20221231
 
2
20230731
 
1

Length

Max length8
Median length4
Mean length4.3529412
Min length4

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 31
91.2%
20221231 2
 
5.9%
20230731 1
 
2.9%

Length

2023-12-11T03:00:02.039540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:02.194302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
91.2%
20221231 2
 
5.9%
20230731 1
 
2.9%

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

소재지전화
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing20
Missing (%)58.8%
Memory size404.0 B
2023-12-11T03:00:02.403368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length11.857143
Min length8

Characters and Unicode

Total characters166
Distinct characters14
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row053-425-3165
2nd row053-476-9915
3rd row253-0127
4th row053-661-1042
5th row053-282-0167
ValueCountFrequency (%)
053-425-3165 1
 
7.1%
053-476-9915 1
 
7.1%
253-0127 1
 
7.1%
053-661-1042 1
 
7.1%
053-282-0167 1
 
7.1%
627-7008 1
 
7.1%
053-660-1770 1
 
7.1%
053-601-5355 1
 
7.1%
053-803-7930 1
 
7.1%
053-762-6622 1
 
7.1%
Other values (4) 4
28.6%
2023-12-11T03:00:02.846769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 28
16.9%
- 23
13.9%
2 20
12.0%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 14
8.4%
1 9
 
5.4%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
83.7%
Dash Punctuation 23
 
13.9%
Other Punctuation 3
 
1.8%
Close Punctuation 1
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 28
20.1%
2 20
14.4%
5 19
13.7%
3 17
12.2%
6 17
12.2%
7 14
10.1%
1 9
 
6.5%
4 6
 
4.3%
8 5
 
3.6%
9 4
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
/ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 28
16.9%
- 23
13.9%
2 20
12.0%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 14
8.4%
1 9
 
5.4%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 28
16.9%
- 23
13.9%
2 20
12.0%
5 19
11.4%
3 17
10.2%
6 17
10.2%
7 14
8.4%
1 9
 
5.4%
4 6
 
3.6%
8 5
 
3.0%
Other values (4) 8
 
4.8%

소재지면적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

소재지우편번호
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)76.5%
Missing17
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean703383.59
Minimum700040
Maximum711860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:03.016899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum700040
5-th percentile700081.6
Q1700822
median701843
Q3705804
95-th percentile707853.6
Maximum711860
Range11820
Interquartile range (IQR)4982

Descriptive statistics

Standard deviation3362.884
Coefficient of variation (CV)0.0047810101
Kurtosis0.70854826
Mean703383.59
Median Absolute Deviation (MAD)1751
Skewness1.079895
Sum11957521
Variance11308989
MonotonicityNot monotonic
2023-12-11T03:00:03.157238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
701843 3
 
8.8%
700822 2
 
5.9%
706830 2
 
5.9%
700739 1
 
2.9%
700040 1
 
2.9%
700092 1
 
2.9%
700400 1
 
2.9%
701170 1
 
2.9%
705804 1
 
2.9%
706852 1
 
2.9%
Other values (3) 3
 
8.8%
(Missing) 17
50.0%
ValueCountFrequency (%)
700040 1
 
2.9%
700092 1
 
2.9%
700400 1
 
2.9%
700739 1
 
2.9%
700822 2
5.9%
701170 1
 
2.9%
701843 3
8.8%
704816 1
 
2.9%
704915 1
 
2.9%
705804 1
 
2.9%
ValueCountFrequency (%)
711860 1
 
2.9%
706852 1
 
2.9%
706830 2
5.9%
705804 1
 
2.9%
704915 1
 
2.9%
704816 1
 
2.9%
701843 3
8.8%
701170 1
 
2.9%
700822 2
5.9%
700739 1
 
2.9%

소재지전체주소
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T03:00:03.488860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length22.764706
Min length18

Characters and Unicode

Total characters774
Distinct characters80
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)76.5%

Sample

1st row대구광역시 중구 삼덕동1가 15-1번지
2nd row대구광역시 중구 사일동 59번지 지하1층
3rd row대구광역시 중구 동성로2가 125번지 지하 1층
4th row대구광역시 중구 봉산동 2-2번지
5th row대구광역시 중구 봉산동 2-2번지
ValueCountFrequency (%)
대구광역시 34
22.1%
중구 11
 
7.1%
북구 8
 
5.2%
산격동 6
 
3.9%
대구전시컨벤션센터 6
 
3.9%
동구 6
 
3.9%
수성구 4
 
2.6%
효목동 4
 
2.6%
1676 3
 
1.9%
1676번지 3
 
1.9%
Other values (61) 69
44.8%
2023-12-11T03:00:03.937514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
154
19.9%
구 74
 
9.6%
대 45
 
5.8%
시 40
 
5.2%
동 39
 
5.0%
1 37
 
4.8%
광 35
 
4.5%
역 34
 
4.4%
지 21
 
2.7%
6 20
 
2.6%
Other values (70) 275
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 475
61.4%
Space Separator 154
 
19.9%
Decimal Number 131
 
16.9%
Dash Punctuation 14
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 74
15.6%
대 45
 
9.5%
시 40
 
8.4%
동 39
 
8.2%
광 35
 
7.4%
역 34
 
7.2%
지 21
 
4.4%
번 16
 
3.4%
성 12
 
2.5%
중 11
 
2.3%
Other values (58) 148
31.2%
Decimal Number
ValueCountFrequency (%)
1 37
28.2%
6 20
15.3%
5 18
13.7%
2 17
13.0%
3 11
 
8.4%
7 10
 
7.6%
4 8
 
6.1%
0 4
 
3.1%
9 4
 
3.1%
8 2
 
1.5%
Space Separator
ValueCountFrequency (%)
154
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 475
61.4%
Common 299
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 74
15.6%
대 45
 
9.5%
시 40
 
8.4%
동 39
 
8.2%
광 35
 
7.4%
역 34
 
7.2%
지 21
 
4.4%
번 16
 
3.4%
성 12
 
2.5%
중 11
 
2.3%
Other values (58) 148
31.2%
Common
ValueCountFrequency (%)
154
51.5%
1 37
 
12.4%
6 20
 
6.7%
5 18
 
6.0%
2 17
 
5.7%
- 14
 
4.7%
3 11
 
3.7%
7 10
 
3.3%
4 8
 
2.7%
0 4
 
1.3%
Other values (2) 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 475
61.4%
ASCII 299
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
154
51.5%
1 37
 
12.4%
6 20
 
6.7%
5 18
 
6.0%
2 17
 
5.7%
- 14
 
4.7%
3 11
 
3.7%
7 10
 
3.3%
4 8
 
2.7%
0 4
 
1.3%
Other values (2) 6
 
2.0%
Hangul
ValueCountFrequency (%)
구 74
15.6%
대 45
 
9.5%
시 40
 
8.4%
동 39
 
8.2%
광 35
 
7.4%
역 34
 
7.2%
지 21
 
4.4%
번 16
 
3.4%
성 12
 
2.5%
중 11
 
2.3%
Other values (58) 148
31.2%

도로명전체주소
Text

MISSING 

Distinct26
Distinct (%)86.7%
Missing4
Missing (%)11.8%
Memory size404.0 B
2023-12-11T03:00:04.250989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length29.166667
Min length21

Characters and Unicode

Total characters875
Distinct characters106
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)76.7%

Sample

1st row대구광역시 중구 동성로3길 35, 5층 (삼덕동1가)
2nd row대구광역시 중구 동성로 25 (사일동)
3rd row대구광역시 중구 동성로 17 (동성로2가)
4th row대구광역시 중구 동성로2길 9 (봉산동)
5th row대구광역시 중구 동성로2길 9 (봉산동)
ValueCountFrequency (%)
대구광역시 30
 
17.0%
중구 10
 
5.7%
북구 8
 
4.5%
10 7
 
4.0%
엑스코로 6
 
3.4%
대구전시컨벤션센터 6
 
3.4%
산격동 6
 
3.4%
1층 5
 
2.8%
동구 4
 
2.3%
수성구 4
 
2.3%
Other values (73) 90
51.1%
2023-12-11T03:00:04.820854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
 
16.7%
구 69
 
7.9%
동 48
 
5.5%
대 43
 
4.9%
시 37
 
4.2%
역 32
 
3.7%
로 32
 
3.7%
광 31
 
3.5%
) 29
 
3.3%
( 29
 
3.3%
Other values (96) 379
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
61.8%
Space Separator 146
 
16.7%
Decimal Number 106
 
12.1%
Close Punctuation 29
 
3.3%
Open Punctuation 29
 
3.3%
Other Punctuation 17
 
1.9%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 69
 
12.8%
동 48
 
8.9%
대 43
 
7.9%
시 37
 
6.8%
역 32
 
5.9%
로 32
 
5.9%
광 31
 
5.7%
성 21
 
3.9%
중 11
 
2.0%
층 11
 
2.0%
Other values (81) 206
38.1%
Decimal Number
ValueCountFrequency (%)
1 28
26.4%
3 15
14.2%
2 14
13.2%
0 13
12.3%
6 9
 
8.5%
5 7
 
6.6%
9 6
 
5.7%
4 5
 
4.7%
7 5
 
4.7%
8 4
 
3.8%
Space Separator
ValueCountFrequency (%)
146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
61.8%
Common 334
38.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 69
 
12.8%
동 48
 
8.9%
대 43
 
7.9%
시 37
 
6.8%
역 32
 
5.9%
로 32
 
5.9%
광 31
 
5.7%
성 21
 
3.9%
중 11
 
2.0%
층 11
 
2.0%
Other values (81) 206
38.1%
Common
ValueCountFrequency (%)
146
43.7%
) 29
 
8.7%
( 29
 
8.7%
1 28
 
8.4%
, 17
 
5.1%
3 15
 
4.5%
2 14
 
4.2%
0 13
 
3.9%
6 9
 
2.7%
- 7
 
2.1%
Other values (5) 27
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
61.8%
ASCII 334
38.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
43.7%
) 29
 
8.7%
( 29
 
8.7%
1 28
 
8.4%
, 17
 
5.1%
3 15
 
4.5%
2 14
 
4.2%
0 13
 
3.9%
6 9
 
2.7%
- 7
 
2.1%
Other values (5) 27
 
8.1%
Hangul
ValueCountFrequency (%)
구 69
 
12.8%
동 48
 
8.9%
대 43
 
7.9%
시 37
 
6.8%
역 32
 
5.9%
로 32
 
5.9%
광 31
 
5.7%
성 21
 
3.9%
중 11
 
2.0%
층 11
 
2.0%
Other values (81) 206
38.1%

도로명우편번호
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)67.9%
Missing6
Missing (%)17.6%
Infinite0
Infinite (%)0.0%
Mean159819.54
Minimum41026
Maximum711860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:04.981153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41026
5-th percentile41179
Q141515
median41938
Q342707.5
95-th percentile700792.95
Maximum711860
Range670834
Interquartile range (IQR)1192.5

Descriptive statistics

Standard deviation257777.11
Coefficient of variation (CV)1.6129261
Kurtosis1.2352739
Mean159819.54
Median Absolute Deviation (MAD)423
Skewness1.7752831
Sum4474947
Variance6.6449037 × 1010
MonotonicityNot monotonic
2023-12-11T03:00:05.130769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
41515 6
17.6%
41942 3
 
8.8%
41938 2
 
5.9%
41179 2
 
5.9%
41594 1
 
2.9%
42941 1
 
2.9%
711860 1
 
2.9%
42814 1
 
2.9%
42672 1
 
2.9%
42202 1
 
2.9%
Other values (9) 9
26.5%
(Missing) 6
17.6%
ValueCountFrequency (%)
41026 1
 
2.9%
41179 2
 
5.9%
41229 1
 
2.9%
41515 6
17.6%
41581 1
 
2.9%
41594 1
 
2.9%
41935 1
 
2.9%
41938 2
 
5.9%
41942 3
8.8%
42202 1
 
2.9%
ValueCountFrequency (%)
711860 1
2.9%
700822 1
2.9%
700739 1
2.9%
700092 1
2.9%
700040 1
2.9%
42941 1
2.9%
42814 1
2.9%
42672 1
2.9%
42250 1
2.9%
42202 1
2.9%

사업장명
Text

Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T03:00:05.407826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.2941176
Min length4

Characters and Unicode

Total characters282
Distinct characters112
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)85.3%

Sample

1st row갤러리 어뮤즈먼트 타가디스코
2nd row플레이존
3rd row팡팡e랜드
4th row프랜드 디스코 팡팡
5th row야시디팡
ValueCountFrequency (%)
라이키즈 3
 
5.6%
상상체험 3
 
5.6%
키즈월드 3
 
5.6%
주식회사 2
 
3.7%
엑스코 2
 
3.7%
플레이존 2
 
3.7%
허브랜드 1
 
1.9%
2019 1
 
1.9%
타가디스코 1
 
1.9%
어뮤즈먼트 1
 
1.9%
Other values (35) 35
64.8%
2023-12-11T03:00:05.955691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
7.1%
드 12
 
4.3%
랜 9
 
3.2%
즈 8
 
2.8%
대 8
 
2.8%
팡 8
 
2.8%
상 8
 
2.8%
) 7
 
2.5%
키 7
 
2.5%
이 7
 
2.5%
Other values (102) 188
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 233
82.6%
Space Separator 20
 
7.1%
Uppercase Letter 8
 
2.8%
Close Punctuation 7
 
2.5%
Open Punctuation 7
 
2.5%
Decimal Number 5
 
1.8%
Lowercase Letter 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 12
 
5.2%
랜 9
 
3.9%
즈 8
 
3.4%
대 8
 
3.4%
팡 8
 
3.4%
상 8
 
3.4%
키 7
 
3.0%
이 7
 
3.0%
주 7
 
3.0%
구 7
 
3.0%
Other values (86) 152
65.2%
Uppercase Letter
ValueCountFrequency (%)
I 2
25.0%
O 2
25.0%
J 1
12.5%
Z 1
12.5%
R 1
12.5%
A 1
12.5%
Decimal Number
ValueCountFrequency (%)
9 1
20.0%
0 1
20.0%
1 1
20.0%
2 1
20.0%
3 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
n 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 233
82.6%
Common 39
 
13.8%
Latin 10
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 12
 
5.2%
랜 9
 
3.9%
즈 8
 
3.4%
대 8
 
3.4%
팡 8
 
3.4%
상 8
 
3.4%
키 7
 
3.0%
이 7
 
3.0%
주 7
 
3.0%
구 7
 
3.0%
Other values (86) 152
65.2%
Common
ValueCountFrequency (%)
20
51.3%
) 7
 
17.9%
( 7
 
17.9%
9 1
 
2.6%
0 1
 
2.6%
1 1
 
2.6%
2 1
 
2.6%
3 1
 
2.6%
Latin
ValueCountFrequency (%)
I 2
20.0%
O 2
20.0%
J 1
10.0%
e 1
10.0%
n 1
10.0%
Z 1
10.0%
R 1
10.0%
A 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 233
82.6%
ASCII 49
 
17.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
40.8%
) 7
 
14.3%
( 7
 
14.3%
I 2
 
4.1%
O 2
 
4.1%
9 1
 
2.0%
0 1
 
2.0%
1 1
 
2.0%
J 1
 
2.0%
2 1
 
2.0%
Other values (6) 6
 
12.2%
Hangul
ValueCountFrequency (%)
드 12
 
5.2%
랜 9
 
3.9%
즈 8
 
3.4%
대 8
 
3.4%
팡 8
 
3.4%
상 8
 
3.4%
키 7
 
3.0%
이 7
 
3.0%
주 7
 
3.0%
구 7
 
3.0%
Other values (86) 152
65.2%

최종수정시점
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0191587 × 1013
Minimum2.0041115 × 1013
Maximum2.0220927 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:06.148247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0041115 × 1013
5-th percentile2.0120551 × 1013
Q12.0183359 × 1013
median2.0200913 × 1013
Q32.0220282 × 1013
95-th percentile2.0220827 × 1013
Maximum2.0220927 × 1013
Range1.7981204 × 1011
Interquartile range (IQR)3.6922721 × 1010

Descriptive statistics

Standard deviation3.8959547 × 1010
Coefficient of variation (CV)0.0019294941
Kurtosis5.9463663
Mean2.0191587 × 1013
Median Absolute Deviation (MAD)1.9391961 × 1010
Skewness-2.228424
Sum6.8651396 × 1014
Variance1.5178463 × 1021
MonotonicityNot monotonic
2023-12-11T03:00:06.343847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
20120424173818 1
 
2.9%
20210104140707 1
 
2.9%
20191001152655 1
 
2.9%
20200219133806 1
 
2.9%
20220512103511 1
 
2.9%
20180906141655 1
 
2.9%
20211223100735 1
 
2.9%
20220620165714 1
 
2.9%
20190828160348 1
 
2.9%
20220303095838 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
20041115111914 1
2.9%
20120424173818 1
2.9%
20120619174551 1
2.9%
20140709170600 1
2.9%
20141002173708 1
2.9%
20170821150817 1
2.9%
20180524171004 1
2.9%
20180727104246 1
2.9%
20180906141655 1
2.9%
20190718143520 1
2.9%
ValueCountFrequency (%)
20220927153004 1
2.9%
20220831173900 1
2.9%
20220825103627 1
2.9%
20220705155735 1
2.9%
20220620165714 1
2.9%
20220512103511 1
2.9%
20220427150826 1
2.9%
20220307102207 1
2.9%
20220303095838 1
2.9%
20220218164103 1
2.9%

데이터갱신구분
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
U
25 
I
9 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowI
2nd rowI
3rd rowI
4th rowI
5th rowU

Common Values

ValueCountFrequency (%)
U 25
73.5%
I 9
 
26.5%

Length

2023-12-11T03:00:06.573011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:06.732994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
u 25
73.5%
i 9
 
26.5%

데이터갱신일자
Date

Distinct25
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2018-08-31 23:59:59
Maximum2022-09-29 02:40:00
2023-12-11T03:00:06.861833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T03:00:07.040725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

업태구분명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

좌표정보(X)
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345101.83
Minimum333769.94
Maximum352335.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:07.214070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum333769.94
5-th percentile340616.95
Q1344036.79
median345346.62
Q3346592.5
95-th percentile349312.87
Maximum352335.05
Range18565.107
Interquartile range (IQR)2555.7137

Descriptive statistics

Standard deviation3178.8492
Coefficient of variation (CV)0.0092113369
Kurtosis4.3980801
Mean345101.83
Median Absolute Deviation (MAD)1337.414
Skewness-0.9952376
Sum11733462
Variance10105082
MonotonicityNot monotonic
2023-12-11T03:00:07.390304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
345549.11017 6
 
17.6%
344036.788219 2
 
5.9%
344203.891808 1
 
2.9%
349172.945261 1
 
2.9%
333769.937636 1
 
2.9%
346876.099778 1
 
2.9%
339826.919785 1
 
2.9%
341042.349189 1
 
2.9%
345741.708282 1
 
2.9%
345658.22082 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
333769.937636 1
2.9%
339826.919785 1
2.9%
341042.349189 1
2.9%
342891.898366 1
2.9%
343300.175269 1
2.9%
343811.78932 1
2.9%
343957.894411 1
2.9%
343981.615381 1
2.9%
344036.788219 2
5.9%
344047.164924 1
2.9%
ValueCountFrequency (%)
352335.045028 1
2.9%
349348.468608 1
2.9%
349293.701201 1
2.9%
349242.00975 1
2.9%
349172.945261 1
2.9%
347690.434441 1
2.9%
347037.24197 1
2.9%
347001.534778 1
2.9%
346876.099778 1
2.9%
345741.708282 1
2.9%

좌표정보(Y)
Real number (ℝ)

Distinct28
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264125.76
Minimum255998.65
Maximum270271.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:07.582899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum255998.65
5-th percentile257962.67
Q1262223.43
median264356.95
Q3265556.72
95-th percentile268620.85
Maximum270271.23
Range14272.576
Interquartile range (IQR)3333.2949

Descriptive statistics

Standard deviation3514.653
Coefficient of variation (CV)0.013306741
Kurtosis-0.20626715
Mean264125.76
Median Absolute Deviation (MAD)1299.0118
Skewness-0.45273932
Sum8980275.8
Variance12352786
MonotonicityNot monotonic
2023-12-11T03:00:07.784043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
268620.845678 6
 
17.6%
264131.86156 2
 
5.9%
264147.064731 1
 
2.9%
265495.648172 1
 
2.9%
257925.256214 1
 
2.9%
255998.649989 1
 
2.9%
257982.809609 1
 
2.9%
261843.246105 1
 
2.9%
259675.318096 1
 
2.9%
259727.589865 1
 
2.9%
Other values (18) 18
52.9%
ValueCountFrequency (%)
255998.649989 1
2.9%
257925.256214 1
2.9%
257982.809609 1
2.9%
258935.535051 1
2.9%
259675.318096 1
2.9%
259727.589865 1
2.9%
260158.750204 1
2.9%
261843.246105 1
2.9%
261916.107428 1
2.9%
263145.386419 1
2.9%
ValueCountFrequency (%)
270271.225719 1
 
2.9%
268620.845678 6
17.6%
265743.409935 1
 
2.9%
265563.482461 1
 
2.9%
265536.440903 1
 
2.9%
265521.055084 1
 
2.9%
265495.648172 1
 
2.9%
265407.404337 1
 
2.9%
265132.987974 1
 
2.9%
264495.005513 1
 
2.9%

문화체육업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
허가유원시설업
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row허가유원시설업
2nd row허가유원시설업
3rd row허가유원시설업
4th row허가유원시설업
5th row허가유원시설업

Common Values

ValueCountFrequency (%)
허가유원시설업 34
100.0%

Length

2023-12-11T03:00:08.099752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:08.265207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가유원시설업 34
100.0%

문화사업자구분명
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
26 
유원시설업
8 

Length

Max length5
Median length4
Mean length4.2352941
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 26
76.5%
유원시설업 8
 
23.5%

Length

2023-12-11T03:00:08.446388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:08.702173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
76.5%
유원시설업 8
 
23.5%

지역구분명
Categorical

Distinct4
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
20 
중심상업지역
9 
자연녹지지역
3 
일반상업지역
 
2

Length

Max length6
Median length4
Mean length4.8235294
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중심상업지역
2nd row중심상업지역
3rd row중심상업지역
4th row<NA>
5th row중심상업지역

Common Values

ValueCountFrequency (%)
<NA> 20
58.8%
중심상업지역 9
26.5%
자연녹지지역 3
 
8.8%
일반상업지역 2
 
5.9%

Length

2023-12-11T03:00:08.969941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:09.205103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 20
58.8%
중심상업지역 9
26.5%
자연녹지지역 3
 
8.8%
일반상업지역 2
 
5.9%

총층수
Real number (ℝ)

MISSING  ZEROS 

Distinct8
Distinct (%)47.1%
Missing17
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean2.7058824
Minimum0
Maximum13
Zeros8
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:09.429199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile9.8
Maximum13
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.0119307
Coefficient of variation (CV)1.4826701
Kurtosis1.3291482
Mean2.7058824
Median Absolute Deviation (MAD)1
Skewness1.4947422
Sum46
Variance16.095588
MonotonicityNot monotonic
2023-12-11T03:00:10.241993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 8
23.5%
1 3
 
8.8%
8 1
 
2.9%
2 1
 
2.9%
13 1
 
2.9%
9 1
 
2.9%
5 1
 
2.9%
6 1
 
2.9%
(Missing) 17
50.0%
ValueCountFrequency (%)
0 8
23.5%
1 3
 
8.8%
2 1
 
2.9%
5 1
 
2.9%
6 1
 
2.9%
8 1
 
2.9%
9 1
 
2.9%
13 1
 
2.9%
ValueCountFrequency (%)
13 1
 
2.9%
9 1
 
2.9%
8 1
 
2.9%
6 1
 
2.9%
5 1
 
2.9%
2 1
 
2.9%
1 3
 
8.8%
0 8
23.5%

주변환경명
Categorical

IMBALANCE 

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
28 
기타
5 
학교정화(상대)
 
1

Length

Max length8
Median length4
Mean length3.8235294
Min length2

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row기타
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 28
82.4%
기타 5
 
14.7%
학교정화(상대) 1
 
2.9%

Length

2023-12-11T03:00:10.534436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:10.739742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 28
82.4%
기타 5
 
14.7%
학교정화(상대 1
 
2.9%

제작취급품목내용
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

보험기관명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

건물용도명
Text

MISSING 

Distinct4
Distinct (%)80.0%
Missing29
Missing (%)85.3%
Memory size404.0 B
2023-12-11T03:00:10.966244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.4
Min length2

Characters and Unicode

Total characters17
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)60.0%

Sample

1st row유기장
2nd row근린생활시설
3rd row단독주택
4th row기타
5th row기타
ValueCountFrequency (%)
기타 2
40.0%
유기장 1
20.0%
근린생활시설 1
20.0%
단독주택 1
20.0%
2023-12-11T03:00:11.541020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
생 1
 
5.9%
활 1
 
5.9%
시 1
 
5.9%
설 1
 
5.9%
Other values (4) 4
23.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
생 1
 
5.9%
활 1
 
5.9%
시 1
 
5.9%
설 1
 
5.9%
Other values (4) 4
23.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
생 1
 
5.9%
활 1
 
5.9%
시 1
 
5.9%
설 1
 
5.9%
Other values (4) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 3
17.6%
타 2
11.8%
유 1
 
5.9%
장 1
 
5.9%
근 1
 
5.9%
린 1
 
5.9%
생 1
 
5.9%
활 1
 
5.9%
시 1
 
5.9%
설 1
 
5.9%
Other values (4) 4
23.5%

지상층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)35.0%
Missing14
Missing (%)41.2%
Infinite0
Infinite (%)0.0%
Mean2.75
Minimum0
Maximum10
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:11.760168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q35
95-th percentile9.05
Maximum10
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.581752
Coefficient of variation (CV)1.3024553
Kurtosis-0.5599375
Mean2.75
Median Absolute Deviation (MAD)0.5
Skewness0.95975568
Sum55
Variance12.828947
MonotonicityNot monotonic
2023-12-11T03:00:11.960239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 10
29.4%
5 2
 
5.9%
9 2
 
5.9%
4 2
 
5.9%
1 2
 
5.9%
7 1
 
2.9%
10 1
 
2.9%
(Missing) 14
41.2%
ValueCountFrequency (%)
0 10
29.4%
1 2
 
5.9%
4 2
 
5.9%
5 2
 
5.9%
7 1
 
2.9%
9 2
 
5.9%
10 1
 
2.9%
ValueCountFrequency (%)
10 1
 
2.9%
9 2
 
5.9%
7 1
 
2.9%
5 2
 
5.9%
4 2
 
5.9%
1 2
 
5.9%
0 10
29.4%

지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)33.3%
Missing16
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean1.1666667
Minimum0
Maximum5
Zeros11
Zeros (%)32.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:12.166675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.75
95-th percentile4.15
Maximum5
Range5
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.6890652
Coefficient of variation (CV)1.4477702
Kurtosis-0.16116484
Mean1.1666667
Median Absolute Deviation (MAD)0
Skewness1.1077927
Sum21
Variance2.8529412
MonotonicityNot monotonic
2023-12-11T03:00:12.370394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 11
32.4%
3 3
 
8.8%
2 1
 
2.9%
5 1
 
2.9%
4 1
 
2.9%
1 1
 
2.9%
(Missing) 16
47.1%
ValueCountFrequency (%)
0 11
32.4%
1 1
 
2.9%
2 1
 
2.9%
3 3
 
8.8%
4 1
 
2.9%
5 1
 
2.9%
ValueCountFrequency (%)
5 1
 
2.9%
4 1
 
2.9%
3 3
 
8.8%
2 1
 
2.9%
1 1
 
2.9%
0 11
32.4%

객실수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:12.610632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:12.785967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

건축연면적
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:12.968526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:13.310267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

영문상호명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

영문상호주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

선박총톤수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:13.575260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:13.842082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

선박척수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:14.063682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:14.227099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

선박제원
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

무대면적
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:14.408885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:14.583917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

좌석수
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:14.777656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:14.974844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

기념품종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

회의실별동시수용인원
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:15.318768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:15.656135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

시설면적
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing13
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean840.81952
Minimum0
Maximum8640.63
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:15.858419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median233.35
Q3523.89
95-th percentile3432.44
Maximum8640.63
Range8640.63
Interquartile range (IQR)523.89

Descriptive statistics

Standard deviation1954.7299
Coefficient of variation (CV)2.3247913
Kurtosis13.847972
Mean840.81952
Median Absolute Deviation (MAD)233.35
Skewness3.5909608
Sum17657.21
Variance3820968.9
MonotonicityNot monotonic
2023-12-11T03:00:16.127275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
29.4%
1013.51 1
 
2.9%
308.58 1
 
2.9%
437.43 1
 
2.9%
523.89 1
 
2.9%
340.72 1
 
2.9%
284.7 1
 
2.9%
1255.36 1
 
2.9%
3432.44 1
 
2.9%
1186.6 1
 
2.9%
Other values (2) 2
 
5.9%
(Missing) 13
38.2%
ValueCountFrequency (%)
0.0 10
29.4%
233.35 1
 
2.9%
284.7 1
 
2.9%
308.58 1
 
2.9%
340.72 1
 
2.9%
437.43 1
 
2.9%
523.89 1
 
2.9%
1013.51 1
 
2.9%
1186.6 1
 
2.9%
1255.36 1
 
2.9%
ValueCountFrequency (%)
8640.63 1
2.9%
3432.44 1
2.9%
1255.36 1
2.9%
1186.6 1
2.9%
1013.51 1
2.9%
523.89 1
2.9%
437.43 1
2.9%
340.72 1
2.9%
308.58 1
2.9%
284.7 1
2.9%

놀이기구수내역
Text

MISSING 

Distinct24
Distinct (%)96.0%
Missing9
Missing (%)26.5%
Memory size404.0 B
2023-12-11T03:00:16.584243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length31
Mean length23.76
Min length1

Characters and Unicode

Total characters594
Distinct characters101
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)92.0%

Sample

1st row1종 1대(타가다디스코)
2nd row1종 1대(타가다디스코)
3rd row타가다디스코(디스코팡팡) 1대
4th row타가다 1대
5th row타가다디스코 1대
ValueCountFrequency (%)
대상 9
 
8.1%
1대 7
 
6.3%
1종 6
 
5.4%
안전성검사 6
 
5.4%
2대 4
 
3.6%
안전성검사대상 4
 
3.6%
2종 4
 
3.6%
확인검사 3
 
2.7%
안전성확인검사대상 3
 
2.7%
유기기구 3
 
2.7%
Other values (55) 62
55.9%
2023-12-11T03:00:17.303707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
14.5%
대 43
 
7.2%
1 30
 
5.1%
, 27
 
4.5%
종 24
 
4.0%
전 22
 
3.7%
사 21
 
3.5%
검 20
 
3.4%
상 20
 
3.4%
안 18
 
3.0%
Other values (91) 283
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
63.0%
Space Separator 86
 
14.5%
Decimal Number 71
 
12.0%
Other Punctuation 37
 
6.2%
Open Punctuation 12
 
2.0%
Close Punctuation 12
 
2.0%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 43
 
11.5%
종 24
 
6.4%
전 22
 
5.9%
사 21
 
5.6%
검 20
 
5.3%
상 20
 
5.3%
안 18
 
4.8%
성 17
 
4.5%
기 11
 
2.9%
타 9
 
2.4%
Other values (73) 169
45.2%
Decimal Number
ValueCountFrequency (%)
1 30
42.3%
2 14
19.7%
3 7
 
9.9%
0 4
 
5.6%
5 4
 
5.6%
7 4
 
5.6%
6 2
 
2.8%
8 2
 
2.8%
9 2
 
2.8%
4 2
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 27
73.0%
: 6
 
16.2%
. 3
 
8.1%
' 1
 
2.7%
Space Separator
ValueCountFrequency (%)
86
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
63.0%
Common 220
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 43
 
11.5%
종 24
 
6.4%
전 22
 
5.9%
사 21
 
5.6%
검 20
 
5.3%
상 20
 
5.3%
안 18
 
4.8%
성 17
 
4.5%
기 11
 
2.9%
타 9
 
2.4%
Other values (73) 169
45.2%
Common
ValueCountFrequency (%)
86
39.1%
1 30
 
13.6%
, 27
 
12.3%
2 14
 
6.4%
( 12
 
5.5%
) 12
 
5.5%
3 7
 
3.2%
: 6
 
2.7%
0 4
 
1.8%
5 4
 
1.8%
Other values (8) 18
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
63.0%
ASCII 220
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
39.1%
1 30
 
13.6%
, 27
 
12.3%
2 14
 
6.4%
( 12
 
5.5%
) 12
 
5.5%
3 7
 
3.2%
: 6
 
2.7%
0 4
 
1.8%
5 4
 
1.8%
Other values (8) 18
 
8.2%
Hangul
ValueCountFrequency (%)
대 43
 
11.5%
종 24
 
6.4%
전 22
 
5.9%
사 21
 
5.6%
검 20
 
5.3%
상 20
 
5.3%
안 18
 
4.8%
성 17
 
4.5%
기 11
 
2.9%
타 9
 
2.4%
Other values (73) 169
45.2%

놀이시설수
Categorical

Distinct6
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
18 
0
10 
2
2 
4
2 
7
 
1

Length

Max length4
Median length4
Mean length2.5882353
Min length1

Unique

Unique2 ?
Unique (%)5.9%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 18
52.9%
0 10
29.4%
2 2
 
5.9%
4 2
 
5.9%
7 1
 
2.9%
3 1
 
2.9%

Length

2023-12-11T03:00:17.587139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:17.814202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 18
52.9%
0 10
29.4%
2 2
 
5.9%
4 2
 
5.9%
7 1
 
2.9%
3 1
 
2.9%

방송시설유무
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)7.1%
Missing6
Missing (%)17.6%
Memory size200.0 B
True
25 
False
3 
(Missing)
6 
ValueCountFrequency (%)
True 25
73.5%
False 3
 
8.8%
(Missing) 6
 
17.6%
2023-12-11T03:00:18.027926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

발전시설유무
Boolean

MISSING 

Distinct2
Distinct (%)11.1%
Missing16
Missing (%)47.1%
Memory size200.0 B
True
13 
False
5 
(Missing)
16 
ValueCountFrequency (%)
True 13
38.2%
False 5
 
14.7%
(Missing) 16
47.1%
2023-12-11T03:00:18.195439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

의무실유무
Boolean

MISSING 

Distinct2
Distinct (%)9.5%
Missing13
Missing (%)38.2%
Memory size200.0 B
True
14 
False
7 
(Missing)
13 
ValueCountFrequency (%)
True 14
41.2%
False 7
20.6%
(Missing) 13
38.2%
2023-12-11T03:00:18.365861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

안내소유무
Boolean

MISSING 

Distinct2
Distinct (%)6.9%
Missing5
Missing (%)14.7%
Memory size200.0 B
True
25 
False
4 
(Missing)
5 
ValueCountFrequency (%)
True 25
73.5%
False 4
 
11.8%
(Missing) 5
 
14.7%
2023-12-11T03:00:18.532096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기획여행보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

기획여행보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

자본금
Categorical

Distinct2
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
<NA>
22 
0
12 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 22
64.7%
0 12
35.3%

Length

2023-12-11T03:00:18.710040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T03:00:18.920615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 22
64.7%
0 12
35.3%

보험시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

보험종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

부대시설내역
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing34
Missing (%)100.0%
Memory size438.0 B

시설규모
Real number (ℝ)

MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing13
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean840.85714
Minimum0
Maximum8641
Zeros10
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T03:00:19.065720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median233
Q3524
95-th percentile3432
Maximum8641
Range8641
Interquartile range (IQR)524

Descriptive statistics

Standard deviation1954.7719
Coefficient of variation (CV)2.3247372
Kurtosis13.84925
Mean840.85714
Median Absolute Deviation (MAD)233
Skewness3.5911018
Sum17658
Variance3821133
MonotonicityNot monotonic
2023-12-11T03:00:19.237443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 10
29.4%
1014 1
 
2.9%
309 1
 
2.9%
437 1
 
2.9%
524 1
 
2.9%
341 1
 
2.9%
285 1
 
2.9%
1255 1
 
2.9%
3432 1
 
2.9%
1187 1
 
2.9%
Other values (2) 2
 
5.9%
(Missing) 13
38.2%
ValueCountFrequency (%)
0 10
29.4%
233 1
 
2.9%
285 1
 
2.9%
309 1
 
2.9%
341 1
 
2.9%
437 1
 
2.9%
524 1
 
2.9%
1014 1
 
2.9%
1187 1
 
2.9%
1255 1
 
2.9%
ValueCountFrequency (%)
8641 1
2.9%
3432 1
2.9%
1255 1
2.9%
1187 1
2.9%
1014 1
2.9%
524 1
2.9%
437 1
2.9%
341 1
2.9%
309 1
2.9%
285 1
2.9%

Sample

번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
01일반유원시설업03_07_09_P3410000CDFI527100201100000120110525<NA>3폐업3폐업20120424<NA><NA><NA>053-425-3165<NA>700739대구광역시 중구 삼덕동1가 15-1번지대구광역시 중구 동성로3길 35, 5층 (삼덕동1가)700739갤러리 어뮤즈먼트 타가디스코20120424173818I2018-08-31 23:59:59.0<NA>344203.891808264147.064731허가유원시설업<NA>중심상업지역8기타<NA><NA><NA>53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1013.511종 1대(타가다디스코)<NA>Y<NA>YY<NA><NA><NA><NA><NA><NA>1014
12일반유원시설업03_07_09_P3410000CDFI527100201100000220110603<NA>3폐업3폐업20141002<NA><NA><NA><NA><NA>700040대구광역시 중구 사일동 59번지 지하1층대구광역시 중구 동성로 25 (사일동)700040플레이존20141002173708I2018-08-31 23:59:59.0<NA>343981.615381264421.75276허가유원시설업<NA>중심상업지역<NA><NA><NA><NA><NA>93<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>308.581종 1대(타가다디스코)<NA>Y<NA>YY<NA><NA><NA><NA><NA><NA>309
23일반유원시설업03_07_09_P3410000CDFI527100201100000320110718<NA>3폐업3폐업20140630<NA><NA><NA><NA><NA>700092대구광역시 중구 동성로2가 125번지 지하 1층대구광역시 중구 동성로 17 (동성로2가)700092팡팡e랜드20140709170600I2018-08-31 23:59:59.0<NA>343957.894411264325.130247허가유원시설업<NA>중심상업지역<NA><NA><NA><NA><NA>72<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>437.43<NA><NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>437
34일반유원시설업03_07_09_P3410000CDFI527100201200000120120110<NA>3폐업3폐업20120619<NA><NA><NA><NA><NA>700822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)700822프랜드 디스코 팡팡20120619174551I2018-08-31 23:59:59.0<NA>344036.788219264131.86156허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>523.89타가다디스코(디스코팡팡) 1대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>524
45일반유원시설업03_07_09_P3410000CDFI527100201300000120130613<NA>3폐업3폐업20190718<NA><NA><NA><NA><NA>700822대구광역시 중구 봉산동 2-2번지대구광역시 중구 동성로2길 9 (봉산동)41942야시디팡20190718143520U2019-07-20 02:40:00.0<NA>344036.788219264131.86156허가유원시설업<NA>중심상업지역2<NA><NA><NA>유기장<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>340.72타가다 1대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA>341
56일반유원시설업03_07_09_P3410000CDFI527100201400000120141224<NA>3폐업3폐업20190902<NA><NA><NA><NA><NA>700400대구광역시 중구 봉산동 2-3번지 4층대구광역시 중구 동성로2길 21-5, 4층 (봉산동)41942플레이존20190902093028U2019-09-04 02:40:00.0<NA>344078.305569264134.456343허가유원시설업<NA>중심상업지역<NA><NA><NA><NA>근린생활시설4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>284.7타가다디스코 1대<NA>YYYY<NA><NA><NA><NA><NA><NA>285
67일반유원시설업03_07_09_P3410000CDFI527100201700000120170713<NA>3폐업3폐업20170821<NA><NA><NA>053-476-9915<NA><NA>대구광역시 중구 대봉동 655-1번지<NA><NA>신천둔치관리소20170821150817I2018-08-31 23:59:59.0<NA>345144.121523263145.386419허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78일반유원시설업03_07_09_P3410000CDFI527100201900000120190402<NA>3폐업3폐업20200301<NA><NA><NA><NA><NA><NA>대구광역시 중구 남일동 135-1번지대구광역시 중구 중앙대로 403, 6-7층 (남일동)41935팡팡랜드20200323145044U2020-03-25 02:40:00.0<NA>343811.78932264364.470193허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1255.36<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1255
89일반유원시설업03_07_09_P3410000CDFI527100201900000220191220<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 공평동 58-6대구광역시 중구 동성로6길 61, 7층 (공평동)41938(주)스파크랜드20220927153004U2022-09-29 02:40:00.0<NA>344316.555049264349.421644허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.07(회전관람차, 매직스윙, 티컵, 타워라이드, 미니바이킹, 패러슈터타워,사이버인스페이스), 3(로데오타기, 배터리카-1, 배터리카-2)0YYYY<NA><NA>0<NA><NA><NA>0
910일반유원시설업03_07_09_P3410000CDFI527100202100000220211217<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 중구 동성로2가 51-1대구광역시 중구 동성로 36-2 (동성로2가)41938대구노리존20220307102207U2022-03-09 02:40:00.0<NA>344087.674459264495.005513허가유원시설업<NA>중심상업지역1<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.01대0YYYY<NA><NA>0<NA><NA><NA>0
번호개방서비스명개방서비스아이디개방자치단체코드관리번호인허가일자인허가취소일자영업상태구분코드영업상태명상세영업상태코드상세영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지전화소재지면적소재지우편번호소재지전체주소도로명전체주소도로명우편번호사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명좌표정보(X)좌표정보(Y)문화체육업종명문화사업자구분명지역구분명총층수주변환경명제작취급품목내용보험기관명건물용도명지상층수지하층수객실수건축연면적영문상호명영문상호주소선박총톤수선박척수선박제원무대면적좌석수기념품종류회의실별동시수용인원시설면적놀이기구수내역놀이시설수방송시설유무발전시설유무의무실유무안내소유무기획여행보험시작일자기획여행보험종료일자자본금보험시작일자보험종료일자부대시설내역시설규모
2425일반유원시설업03_07_09_P3450000CDFI527100202100000120210716<NA>3폐업3폐업20210822<NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1676 대구전시컨벤션센터대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 1층 (산격동)41515엑스코 상상체험 키즈월드20211223100735U2021-12-25 02:40:00.0<NA>345549.11017268620.845678허가유원시설업<NA><NA>1<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.06종0YYYY<NA><NA>0<NA><NA><NA>0
2526일반유원시설업03_07_09_P3450000CDFI527100202200000120220617<NA>1영업/정상13영업중<NA><NA><NA><NA><NA><NA><NA>대구광역시 북구 산격동 1676 대구전시컨벤션센터대구광역시 북구 엑스코로 10, 대구전시컨벤션센터 (산격동)41515엑스코 상상체험 키즈월드 시즌320220620165714U2022-06-22 02:40:00.0<NA>345549.11017268620.845678허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0안전성검사 대상: 8종, 확인검사 대상: 10종0<NA><NA>YY<NA><NA>0<NA><NA><NA>0
2627일반유원시설업03_07_09_P3460000CDFI527100200700000120070307<NA>3폐업3폐업20210101<NA><NA><NA>053-803-7930<NA>706852대구광역시 수성구 황금동 626대구광역시 수성구 동대구로 176 (황금동)<NA>대구광역시 어린이회관20210104140707U2021-01-06 02:40:00.0<NA>347001.534778261916.107428허가유원시설업유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8640.63<NA><NA>NNNN<NA><NA><NA><NA><NA><NA>8641
2728일반유원시설업03_07_09_P3460000CDFI527100201900000120190822<NA>3폐업3폐업20190826<NA><NA><NA><NA><NA><NA>대구광역시 수성구 대흥동 504번지 대구스타디움 동편광장대구광역시 수성구 유니버시아드로 180, 대구스타디움 동편광장 (대흥동)422502019 대구스타디움 워터 페스티벌20190828160348U2019-08-30 02:40:00.0<NA>352335.045028260158.750204허가유원시설업<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1(포라인슬라이드)<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>
2829일반유원시설업03_07_09_P3460000CDFI527100199300000119930709<NA>1영업/정상13영업중<NA><NA><NA><NA>053-762-6622<NA>706830대구광역시 수성구 상동 723 외19필지대구광역시 수성구 용학로 35-5 (상동)42202(주)수성랜드20220427150826U2022-04-29 02:40:00.0<NA>345658.22082259727.589865허가유원시설업유원시설업<NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0<NA>0NNNN<NA><NA>0<NA><NA><NA>0
2930일반유원시설업03_07_09_P3460000CDFI527100199400000119940730<NA>1영업/정상13영업중<NA><NA><NA><NA>762.8400/2228.6729<NA>706830대구광역시 수성구 상동 715 외3필지대구광역시 수성구 용학로 35-3 (상동,외3필지)<NA>(주)수성파크랜드20220705155735U2022-07-07 02:40:00.0<NA>345741.708282259675.318096허가유원시설업유원시설업자연녹지지역0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>0233.35<NA>0NNNN<NA><NA>0<NA><NA><NA>233
3031일반유원시설업03_07_09_P3470000CDFI527100201500000120150520<NA>2휴업2휴업<NA>2022081620230731<NA><NA><NA>704915대구광역시 달서구 성당동 169-13대구광역시 달서구 공원순환로 237 (성당동)42672대구시설공단(두류수영장)20220825103627U2022-08-27 02:40:00.0<NA>341042.349189261843.246105허가유원시설업<NA><NA>0<NA><NA><NA><NA>0000<NA><NA>00<NA>00<NA>00.0안전성검사대상 5종 안전성검사비대상 1종0YY<NA>Y<NA><NA>0<NA><NA><NA>0
3132일반유원시설업03_07_09_P3470000CDFI527100201200000120121211<NA>3폐업3폐업20211001<NA><NA><NA>053-644-7000<NA>704816대구광역시 달서구 상인동 1558대구광역시 달서구 상인서로 8-6 (상인동)42814온천 엘리바덴20211025155750U2021-10-27 02:40:00.0<NA>339826.919785257982.809609허가유원시설업<NA>일반상업지역6학교정화(상대)<NA><NA><NA>51<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상 4종(유수풀, 미끄럼틀, 아쿠아플레이,바디슬라이드)4Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>
3233일반유원시설업03_07_09_P3480000CDFI527100200400000120040504<NA>2휴업2휴업<NA>2022010120221231<NA>053)767-6300<NA>711860대구광역시 달성군 가창면 용계리 534-1대구광역시 달성군 가창면 가창로 1003711860허브랜드 주식회사20220127091516U2022-01-29 02:40:00.0<NA>346876.099778255998.649989허가유원시설업유원시설업자연녹지지역<NA>기타<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>9종 9대(안전성검사 대상 유기기구), 12종 12대(안전성검사 비대상 유기기구)<NA>YYYY<NA><NA><NA><NA><NA><NA><NA>
3334일반유원시설업03_07_09_P3480000CDFI527100201500000120151231<NA>3폐업3폐업20180524<NA><NA><NA>053-521-2222<NA><NA>대구광역시 달성군 화원읍 성산리 274번지대구광역시 달성군 화원읍 사문진로1길 40-12 (화원동산관리소)42941동림기업20180524171004I2018-08-31 23:59:59.0<NA>333769.937636257925.256214허가유원시설업<NA>자연녹지지역<NA>기타<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>안전성검사 대상기구 1종 1대 , 안전성검사 비대상기구 4종 15대<NA>Y<NA><NA>Y<NA><NA><NA><NA><NA><NA><NA>